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URL: https://apify.com/kaix/linkedin-jobs-scraper

⇱ LinkedIn Jobs Scraper - Search, Filter & Detail Extraction Β· Apify


πŸ‘ LinkedIn Jobs Scraper - Search, Filter & Detail Extraction avatar

LinkedIn Jobs Scraper - Search, Filter & Detail Extraction

Pricing

from $0.09 / 1,000 jobs

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LinkedIn Jobs Scraper - Search, Filter & Detail Extraction

πŸ”₯ ~$0.1/1K jobs πŸ”₯ Scrape LinkedIn job listings via the public guest API. Search with filters (job type, experience, remote, salary), fetch full descriptions and criteria. No login required.

Pricing

from $0.09 / 1,000 jobs

Rating

0.0

(0)

Developer

πŸ‘ Kai

Kai

Maintained by Community

Actor stats

1

Bookmarked

72

Total users

33

Monthly active users

2 months ago

Last modified

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LinkedIn Jobs Scraper

Scrape LinkedIn job listings via the public guest API. Search by keyword, browse by company, or fetch specific job IDs. No login required, no proxy needed.

Why use this scraper?

  • Uses LinkedIn's public guest API, no authentication or cookies needed
  • 3 input modes: keyword search, company jobs, direct job ID lookup
  • 16 fields per job from search results alone (fast, lightweight)
  • 43+ fields with detail mode: full description, employer-provided salary, featured benefits, recruiter contact
  • Fetch similar jobs per listing via LinkedIn's similar jobs API
  • All LinkedIn search filters: job type, experience level, remote/hybrid/on-site, salary range, date posted, Easy Apply
  • Structured output ready for analysis pipelines

Use cases

  • Monitor job postings for specific roles, companies, or locations
  • Build salary benchmarks from employer-provided compensation data
  • Track hiring trends across industries and regions
  • Feed structured job data into AI/NLP pipelines
  • Aggregate recruiter contact info for outreach
  • Discover related roles and salary ranges from similar jobs

How to use

Basic search

{
"keywords":"software engineer",
"location":"San Francisco"
}

Search with filters

{
"keywords":"data scientist",
"location":"United States",
"maxJobs":100,
"jobType":["full_time"],
"experienceLevel":["mid_senior","director"],
"workType":["remote"],
"datePosted":"past_week",
"sortBy":"recent"
}

Browse jobs by company

{
"companyId":"30898036",
"maxJobs":50
}

Find company IDs from the typeahead API (/jobs-guest/api/typeaheadHits?typeaheadType=COMPANY&query=Notion) or from job detail pages (companyId field).

Fetch specific jobs by ID

{
"jobIds":["4406118990","4407050560","4370317193"]
}

Always fetches full details. No extra charge for detail fetching in this mode.

Fetch full job details

{
"keywords":"marketing director",
"location":"New York",
"maxJobs":10,
"fetchDetails":true
}

Include similar jobs

{
"keywords":"nurse practitioner",
"location":"Texas",
"maxJobs":5,
"includeSimilar":true,
"maxSimilarJobs":50
}

Filter by salary and Easy Apply

{
"keywords":"nurse practitioner",
"location":"Texas",
"salary":"100000",
"easyApplyOnly":true,
"maxJobs":50
}

Input

Search

ParameterTypeDefaultDescription
keywordsstringJob search keywords. Required unless using companyId or jobIds.
locationstringJob location
maxJobsnumber25Max listings to scrape (LinkedIn caps at 1000)
sortByselectrelevantrelevant or recent

Alternative modes

ParameterTypeDescription
companyIdstringLinkedIn company ID to list all jobs from that company
jobIdsstring[]Fetch specific jobs by ID. Always fetches full details.

Filters

ParameterTypeDefaultDescription
jobTypestring[]full_time, part_time, contract, temporary, volunteer, internship, other
experienceLevelstring[]internship, entry_level, associate, mid_senior, director, executive
workTypestring[]on_site, remote, hybrid
datePostedselectpast_24h, past_week, past_month
salaryselectMinimum salary: 40000 through 200000
easyApplyOnlybooleanfalseOnly Easy Apply jobs

Output options

ParameterTypeDefaultDescription
fetchDetailsbooleanfalseFetch full job page per listing (~300KB each)

Similar jobs

ParameterTypeDefaultDescription
includeSimilarbooleanfalseFetch similar jobs per listing
maxSimilarJobsnumber25Max similar jobs per listing. 0 = unlimited (up to 1000).

Pricing

EventWhen chargedUnit
job-detailEach successful detail fetch in search/company modePer job
similar-jobEach similar job fetchedPer similar job

Job ID mode (jobIds) always fetches details at no extra charge. Search-only mode (no fetchDetails) incurs no per-item charges.

Output

Search-only fields (16 fields, fast)

{
"jobId":"4406118990",
"jobSlug":"software-engineer-new-grad-at-notion-4406118990",
"title":"Software Engineer, New Grad",
"company":"Notion",
"companySlug":"notionhq",
"companyUrl":"https://www.linkedin.com/company/notionhq",
"companyLogoUrl":"https://media.licdn.com/dms/image/v2/D4E0BAQGwvcv_1tHZ4w/company-logo_100_100/B4EZW25gE2GgAQ-/0/1742530282185/notionhq_logo?e=2147483647&v=beta&t=h_sgZm5R2TgP9Fpbo95m2wmxnSDoEz06eupofZwpSXs",
"location":"San Francisco, CA",
"jobUrl":"https://www.linkedin.com/jobs/view/software-engineer-new-grad-at-notion-4406118990",
"position":1,
"postedDate":"2026-04-24",
"postedTimeAgo":"1 week ago",
"isNew":false,
"salary":null,
"badge":"Actively Hiring",
"benefitsCount":null,
"scrapedAt":"2026-05-01T05:06:50.232Z"
}

Detail fields (with fetchDetails: true or jobIds)

{
"description":"About UsNotion helps you build beautiful tools for your life's work...",
"descriptionHtml":"<strong>About Us<br><br></strong>Notion helps you build...",
"experienceLevel":"Entry level",
"employmentType":"Full-time",
"jobFunction":"Engineering and Information Technology",
"industries":"Software Development",
"applicants":"Over 200 applicants",
"applicantsStatus":"high",
"companyId":"30898036",
"industryIds":"4",
"titleId":"9",
"ogTitle":"Notion hiring Software Engineer, New Grad in San Francisco, CA | LinkedIn",
"referralMultiplier":"2x",
"geoId":"105638634",
"hasDirectApply":false,
"compensationSalary":null,
"compensationProvider":null,
"compensationDescription":null,
"featuredBenefits":[],
"recruiter":null
}

Compensation and benefits (when available, ~20% of jobs)

From a Financial Planning & Analysis Analyst listing at Jersey Mike's Subs:

{
"compensationSalary":"$102,200.00/yr - $143,100.00/yr",
"compensationProvider":"Jersey Mike's Subs provided pay range",
"compensationDescription":"This range is provided by Jersey Mike's Subs. Your actual pay will be based on your skills and experience β€” talk with your recruiter to learn more.",
"featuredBenefits":["Medical insurance","Vision insurance","Dental insurance","401(k)"],
"hasDirectApply":true
}

Recruiter info (when available, ~5% of jobs)

From a Director, Partner Marketing listing at Pinterest:

{
"recruiter":{
"name":"Aisling Seaver (Keogh)",
"title":"Recruiting at Pinterest",
"profileUrl":"https://ie.linkedin.com/in/aisling-seaver-keogh-017b2253",
"photoUrl":"https://media.licdn.com/dms/image/v2/D4D03AQG4RJmq4TjpJg/profile-displayphoto-shrink_400_400/..."
}
}

Similar jobs (with includeSimilar: true)

Fetched via LinkedIn's similar jobs API, paginated at 10 per page:

{
"similarJobs":[
{
"jobId":"4370317193",
"title":"Software Engineer (New Grads)",
"company":"Giga",
"companyUrl":"https://www.linkedin.com/company/gigaml",
"companyLogoUrl":"https://media.licdn.com/dms/image/v2/D560BAQGuz5OVE8IcRg/company-logo_100_100/...",
"location":"San Francisco, CA",
"salary":"$160,000.00 - $250,000.00",
"jobUrl":"https://www.linkedin.com/jobs/view/software-engineer-new-grads-at-giga-4370317193",
"postedDate":"2026-04-14",
"postedTimeAgo":"2 weeks ago",
"isNew":false
}
]
}

Detail page related content (with fetchDetails: true)

The full job page also includes these related sections (different from the similar jobs API):

{
"peopleAlsoViewed":[
{
"jobId":"4318502728",
"title":"Software Engineer",
"company":"Imprint",
"salary":"$140,000.00 - $180,000.00"
}
],
"similarSearches":[
{"title":"Technology Intern jobs","url":"https://www.linkedin.com/jobs/technology-intern-jobs","openJobsCount":"5,338 open jobs"}
],
"relatedSearches":[
{"title":"Ascent Aviation Services jobs","url":"https://www.linkedin.com/jobs/ascent-aviation-services-jobs"}
]
}

Limitations

  • LinkedIn caps search results at 1000 per query. Use narrower filters to access more listings.

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